Informatics-based Technologies

Research Informatics contributes drug discovery projects from target assessment to lead optimization by supporting analysis of large volumes of diverse data, including but not limited to molecular properties, biological activities, genetic information, biomarkers and scientific literature. It establishes predictive tools to allow time and resource-efficient decision processes. It invests in developing new platforms for data analysis and visualization which allow for more effective interpretation and sharing of scientific results, turning information into knowledge.

Technologies in this area

Big Data

Big Data is a term that has entered common use to refer to the amount, speed and diversity of data generated nowadays as a consequence of faster, more flexible and more pervasive data capture technology.

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Bioinformatics

Bioinformatics helps to process, analyze and interpret biological data and to automate analysis workflows, combining informatics tools and algorithms with a profound knowledge of the biological systems being analyzed.

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Genetics and Genomics

Genetics and Genomics is the study of the genome, i.e. all genes expressed in a cell, tissue, organism, or a sample of body fluids.

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In Silico PK/PD Modeling

In Silico Modeling is deployed to predict how the pharmacology and pharmacokinetics of the drug as seen in laboratory and animals studies might translate to humans.

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Proteomics

Proteomics is the study of all proteins expressed in a cell (tissue, organism, body fluids etc...), the so-called “proteome”.

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Scientific Information Management

Scientific Information Management guarantees that all our scientists get rapid access to all the newest information available in their field of interest.

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Systems Biology

Systems Biology is the attempt to integrate complex biological data into models that take the relevant interactions between the components of a living system into account.

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Toxicogenomics

Toxicogenomics combines toxicology with genomics and tries to use the expression patterns of genes and proteins in cells to predict potential toxic effects of substances for which no reliable in vitro assay exists.

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Tags: Informatics-based Technologies